This article discusses best practices for designing fallback scenarios in no-code chatbot development, particularly when a bot fails to understand or execute a user's request. It emphasizes moving beyond a single, repetitive fallback response to a more nuanced approach that includes options for rephrasing, presenting choices, or escalating to a human agent. Microsoft's recommendations suggest limiting fallback attempts to two per session before initiating a handoff, ensuring the user's context is preserved and the next step is clearly communicated. AI
IMPACT Improves user experience and efficiency in no-code chatbot implementations.
RANK_REASON Article provides guidance on chatbot design, not a new product or release.
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